Senior Software Engineer - Streaming Platform (NORAM) | Datadog Careers

Datadog

Hybrid

Quick summary

Work type
Hybrid
Location
New York, NY
Salary
$192,000–$240,000 / yr
Posted
today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $189k
This role $216k
$138k most similar roles pay here $251k

This role pays more than 71% of similar roles. Most pay $156,037–$222,000 — the shaded band above. At the midpoint, this role pays about $216k versus about $189k for comparable roles.

Based on 240 similar postings.

Employer

About Datadog

Datadog, Inc. is an American company that provides an observability service for cloud-scale applications, providing monitoring of servers, databases, tools, and services, through a SaaS-based data analytics platform.

Datadog currently has 114 open roles on FindRole.

Listed pay typically runs $187,000–$240,000 across 56 roles with salary data.

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View all roles at Datadog

At a glance

TL;DR · Senior Software Engineer - Streaming Platform (NORAM) | Datadog Careers

The Senior Software Engineer role on the Streaming Platform team at Datadog involves maintaining and enhancing a mission-critical Kafka deployment that supports petabytes of data and millions of messages daily. This position requires deep technical expertise to ensure reliability, cost efficiency, and usability for internal customers. Day-to-day responsibilities include operating a cutting-edge Kafka fleet, developing high-performance streaming platforms, integrating open-source solutions with internal systems, optimizing client behavior, and mentoring junior team members. Ideal candidates possess experience in Java or Golang, delivering software solutions, and working with large-scale stateful systems. Familiarity with distributed systems concepts such as consensus and replication is essential, along with a willingness to learn new languages and technologies. Direct Kafka operation experience and knowledge of C++ or Rust are highly desirable.

What you'll do

  • Operate a high-reliability Kafka deployment through detailed hardware and cloud-provider investigations.
  • Develop a high-performance streaming platform to ease customer adoption and reduce operational burden.
  • Integrate open-source solutions with internal systems for efficient Kafka operation.
  • Optimize high-throughput application performance by tweaking low-level Kafka client behavior.
  • Drive complex projects, ensuring timely delivery and maintaining high quality results.

What we're looking for

  • Extensive experience operating large-scale stateful systems.
  • Proficiency in Java or Golang for software development and delivery.
  • Deep understanding of distributed systems concepts including consensus, quorums, and replication.
  • Direct experience with Kafka or similar large-scale streaming systems.
  • Ability to independently operate, experiment, iterate, and manage complex technical projects.
  • Strong communication skills for gathering requirements and leading initiatives.

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